{"title":"On Assignment Problems Related to Gromov–Wasserstein Distances on the Real Line","authors":"Robert Beinert, Cosmas Heiss, Gabriele Steidl","doi":"10.1137/22m1497808","DOIUrl":null,"url":null,"abstract":"Let and , , be real numbers. We show by an example that the assignment problem \\begin{align*} \\max_{\\sigma \\in S_n} F_\\sigma (x,y) := \\frac 12 \\sum_{i,k=1}^n |x_i- x_k|^\\alpha \\, |y_{\\sigma (i)}- y_{\\sigma (k)}|^\\alpha, \\quad \\alpha \\gt 0, \\end{align*} is in general neither solved by the identical permutation nor the anti-identical permutation if . Indeed the above maximum can be, depending on the number of points, arbitrarily far away from and . The motivation to deal with such assignment problems came from their relation to Gromov–Wasserstein distances, which have recently received a lot of attention in imaging and shape analysis.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1137/22m1497808","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 2
Abstract
Let and , , be real numbers. We show by an example that the assignment problem \begin{align*} \max_{\sigma \in S_n} F_\sigma (x,y) := \frac 12 \sum_{i,k=1}^n |x_i- x_k|^\alpha \, |y_{\sigma (i)}- y_{\sigma (k)}|^\alpha, \quad \alpha \gt 0, \end{align*} is in general neither solved by the identical permutation nor the anti-identical permutation if . Indeed the above maximum can be, depending on the number of points, arbitrarily far away from and . The motivation to deal with such assignment problems came from their relation to Gromov–Wasserstein distances, which have recently received a lot of attention in imaging and shape analysis.